House Prices and Macroprudential Policies: Evidence from City-Level Data in India

Bhupal Singh
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引用次数: 2

Abstract

This paper examines the efficacy of macroprudential policies in addressing housing prices in a developing country while underscoring the importance of fundamental factors. The estimated models using city-level data for India suggest a strong influence of fundamental factors in driving housing prices. There is compelling evidence of the effectiveness of macroprudential tools viz., Loan-to-value (LTV) ratio, risk weights, and provisioning requirements, in influencing housing price movements. A granular analysis suggests an even stronger impact on housing prices of a change in the regulatory LTV ratio for large-sized vis-a-vis small-sized mortgages, which buttresses their potency in fighting house price speculations. A tightening of the risk weights on the housing assets of banks causes significant downward pressure on house prices. Similarly, regulatory changes in standard asset provisioning on housing loans also influence house prices.
房价与宏观审慎政策:来自印度城市层面数据的证据
本文考察了宏观审慎政策在解决发展中国家房价问题方面的有效性,同时强调了基本因素的重要性。使用印度城市数据的估计模型表明,基本因素对推动房价有很大影响。有令人信服的证据表明,宏观审慎工具,即贷款与价值比率(LTV)、风险权重和准备金要求,在影响房价走势方面是有效的。一项细致的分析表明,大额抵押贷款相对于小额抵押贷款的监管LTV比率的变化对房价的影响甚至更大,这增强了它们打击房价投机的效力。银行住房资产风险权重的收紧,给房价带来了巨大的下行压力。同样,住房贷款标准资产拨备的监管变化也会影响房价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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